AI Business Analyst. The role, the market signal, and how to build it in your org.
Maps business requirements, records and decisions for an AI project. Proposes where people and agents could contribute and defines outputs and checks with the responsible owners.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
7 postings · 7 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
126 tasks extracted from real AI Business Analyst job descriptions, classified Automate / Augment / Human-only. In this source classification, 3.2% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Track delivery progress.
- Analyser les tickets de 1er et 2ème niveau
- Track key project metrics, business trends, and delivery progress
- Maintain and update master data attribute files and related governance documentation
- Identify data gaps.
- Create process maps.
- Create demo narratives.
- Perform data discovery.
- Identify source systems.
- Encadrer une équipe amoa/amoe
- Coordinate solution delivery with product teams.
- Participate in planned travel to pune as needed.
- Coordinate solution delivery with security teams.
- Animer des groupes de travail avec les exploitants
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.